An integrative model of the personal growth process in a T-group

Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 1970.Includes bibliographical references (leaves 72-74).by Stanley David Quint and Aaron Kleiner.S.M

Wiener splines

We describe an alternative way of constructing interpolating B-spline curves, surfaces or volumes in Fourier space which can be used for visualization. In our approach the interpolation problem is considered from a signal processing point of view and is reduced to finding an inverse B-spline filter sequence. The Fourier approach encompasses some advantageous features, such as successive approximation, compression, fast convolution and hardware support. In addition, optimal Wiener filtering can be applied to remove noise and distortions from the initial data points and to compute a smooth, least-squares fitting ‘Wiener spline’. Unlike traditional fitting methods, the described algorithm is simple and easy to implement. The performance of the presented method is illustrated by some examples showing the restoration of surfaces corrupted by various types of distortions

Evaluating the Effectiveness of National Labor Relations Act Remedies: Analysis and Comparison with Other Workplace Penalty Policies

The goal of this paper is to examine the implied penalty policies underlying the remedies created by the National Labor Relations Act (NLRA) in terms of the policies’ impact on employer and union behaviors. We present a simple model of deterrence as a means of evaluating workplace penalty policies in terms of their influence on employer behavior, particularly through deterrence effects. We also compare the remedies for violations embodied in the NLRA with penalty policies under other workplace legislation, such as the Fair Labor Standards Act and the Occupational Safety and Health Act. We then evaluate the size of financial costs for violations against individuals of specific provisions of the NLRA by firms and unions for the period 2000-2009. We show that the implied penalties are modest, particularly in terms of providing sufficient incentives to comply with the law in a timely manner. Given this finding, we examine other potential remedies available under the NLRA, in particular, methods to address the impact of delays (the length of time from the filing of the charge or the issuance of the charge to the time of its adjudication before an administrative law judge at the National Labor Relations Board or through the federal courts) on workplace representation through unionization.

Enhancing Perceived Fairness of AI-Based Personnel Selection Procedures: The Role of AI Certification

Organizations increasingly integrate artificial intelligence (AI) into their selection procedures, for example, to analyze selection interviews. However, prior research indicates that applicants react negatively to an AI as decision agent in selection interviews. Only few studies have addressed possible mechanisms to mitigate negative effects of AI usage on applicant reactions, calling for increased research attention. The present experimental study (N=180) is among the first to test whether AI certification has the potential to positively influence people’s fairness perceptions of AI usage. Consistent with previous research, our results show that people are less attracted to an organization that conducts AI-based (compared to human-based) selection interviews, partially due to lower procedural fairness perceptions. With regards to AI certification, we highlight the crucial role of the certification label’s perceived trustworthiness in shaping applicants’ procedural fairness perceptions and organizational attraction. Future research should investigate factors that enhance the trustworthiness of an AI certification label

Vemurafenib‐induced granulomatous hepatitis

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135991/1/hep28692_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/135991/2/hep28692.pd

Automatic quantification of lobular inflammation and hepatocyte ballooning in NAFLD liver biopsies

Automatic quantification of cardinal histologic features of nonalcoholic fatty liver disease (NAFLD) may reduce human variability and allow continuous rather than semiquantitative assessment of injury. We recently developed an automated classifier that can detect and quantify macrosteatosis with greater than or equal to 95% precision and recall (sensitivity). Here, we report our early results on the classifier's performance in detecting lobular inflammation and hepatocellular ballooning. Automatic quantification of lobular inflammation and ballooning was performed on digital images of hematoxylin and eosin–stained slides of liver biopsy samples from 59 individuals with normal liver histology and varying severity of NAFLD. Two expert hepatopathologists scored liver biopsies according the nonalcoholic steatohepatitis clinical research network scoring system and provided annotations of lobular inflammation and hepatocyte ballooning on the digital images. The classifier had precision and recall of 70% and 49% for lobular inflammation, and 91% and 54% for hepatocyte ballooning. In addition, the classifier had an area under the curve of 95% for lobular inflammation and 98% for hepatocyte ballooning. The Spearman rank correlation coefficient for comparison with pathologist grades was 45.2% for lobular inflammation and 46% for hepatocyte ballooning. Our novel observations demonstrate that automatic quantification of cardinal NAFLD histologic lesions is feasible and offer promise for further development of automatic quantification as a potential aid to pathologists evaluating NAFLD biopsies in clinical practice and clinical trials

Highly Specific, Bi-substrate-Competitive Src Inhibitors from DNA-Templated Macrocycles

Protein kinases are attractive therapeutic targets, but their high sequence and structural conservation complicates the development of specific inhibitors. We recently discovered from a DNA-templated macrocycle library inhibitors with unusually high selectivity among Src-family kinases. Starting from these compounds, we developed and characterized in molecular detail potent macrocyclic inhibitors of Src kinase and its cancer-associated gatekeeper mutant. We solved two co-crystal structures of macrocycles bound to Src kinase. These structures reveal the molecular basis of the combined ATP- and substrate peptide-competitive inhibitory mechanism and the remarkable kinase specificity of the compounds. The most potent compounds inhibit Src activity in cultured mammalian cells. Our work establishes that macrocycles can inhibit protein kinases through a bi-substrate competitive mechanism with high potency and exceptional specificity, reveals the precise molecular basis for their desirable properties, and provides new insights into the development of Src-specific inhibitors with potential therapeutic relevance.Chemistry and Chemical Biolog